Chapter 4 - Relational Databases Flashcards

1
Q

database

A

A set of interrelated, centrally coordinated data files that are stored with as little data redundancy as possible.

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2
Q

database management system (DBMS)

A

The program that manages and controls the data and the interfaces between the data and the application programs that use the data stored in the database.

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3
Q

database system

A

The database, the DBMS, and the application programs that access the database through the DBMS. The database

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4
Q

database administrator (DBA)

A

The person responsible for coordinating, controlling, and managing the database.

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5
Q

online transaction processing database (OLTP)

A

Database containing detailed current transaction data, usually in third normal form. Focuses on throughput, speed,availability,concurrency, and recoverability. Often used concurrently by hundreds of users.

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6
Q

data warehouse

A

Very large databases containing detailed and summarized data for a number of years that are used for analysis rather than transaction processing.

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7
Q

business intelligence

A

Analyzing large amounts of data for strategic decision making.

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8
Q

online analytical processing (OLAP)

A

Using queries to investigate hypothesized relationships among data.

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9
Q

data mining

A

Using sophisticated statistical analysis to “discover” unhypothesized relationships in the data.

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10
Q

record layout

A

Document that shows the items stored in a file, including the order and length of the data fields and the type of data stored.

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11
Q

logical view

A

How people conceptually organize, view, and understand the relationships among data items.

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12
Q

physical view

A

The way data are physically arranged and stored in the computer system.

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13
Q

schema

A

A description of the data elements in a database, the relationships among them, and the logical model used to organize and describe the data.

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14
Q

conceptual-level schema

A

The organization-wide view of the entire database that lists all data elements and the relationships between them.

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15
Q

external-level schema

A

An individual user’s view of portions of a database; also called a subschema.

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16
Q

subschema

A

A subset of the schema; the way the user defines the data and the data relationships.

17
Q

internal-level schema

A

A low-level view of the entire database describing how the data are actually stored and accessed.

18
Q

access rights

A

Permissions granted to create, read, update,and delete data, database records, or data files.

19
Q

data dictionary

A

Information about the structure of the database, including a description of each data element.
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20
Q

data definition language (DDL)

A

DBMS language that builds the data dictionary, creates the database, describes logical views, and specifies record or field security constraints.

21
Q

structured query language (SQL)

A

Standardized commercial programming language designed for managing data in relational database systems. Even though it is standardized,variations exist among different database systems.

22
Q

data manipulation language (DML)

A

DBMS language that changes database content, including data element creations, updates, insertions, and deletions.

23
Q

data query language (DQL)

A

High-level, English-like, DBMS language that contains powerful, easy-to-use commands that enable users to retrieve, sort, order, and display data.

24
Q

report writer

A

DBMS language that simplifies report creation.

25
Q

data model

A

An abstract representation of database contents.

26
Q

relational data model

A

A two-dimensional table representation of data; each row represents a unique entity (record) and each column is a field where record attributes are stored.

27
Q

tuple

A

A row in a table that contains data about a specific item in a database table.

28
Q

primary key

A

Database attribute, or combination of attributes, that uniquely identifies each row in a table.

29
Q

foreign key

A

An attribute in a table that is also a primary key in another table; used to link the two tables.
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30
Q

update anomaly

A

Improper database organization where a non-primary key item is stored multiple times; updating the item in one location and not the others causes data inconsistencies.

31
Q

insert anomaly

A

Improper database organization that results in the inability to add records to a database.

32
Q

delete anomaly

A

Improper organization of a database that results in the loss of all information about an entity when a row is deleted.

33
Q

relational database

A

A database built using the relational data model.

34
Q

entity integrity rule

A

A non-null primary key ensures that every row in a table represents something and that it can be identified.

35
Q

referential integrity rule

A

Foreign keys which link rows in one table to rows in another table must have values that correspond to the value of a primary key in another table.

36
Q

normalization

A

Following relational database creation rules to design a relational database that is free from delete, insert, and update anomalies.

37
Q

semantic data modeling

A

Using knowledge of business processes and information needs to create a diagram that shows what to include in a fully normalized database (in 3NF).